Level up your Bot with Watson

The Watson Services by IBM combine 20+ services you can use to enhance your bot, from Natural Language Processing to Image Analytics and beyond.

Transcript

1. Level up your bot with
   Watson
   Vienna Bots Meetup
   @Sgoettschkes
   https://stocksnap.io/photo/LTB7BB80VH
   

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4. Bot ingredients
   Application
   Platform “Bot”
   ● Facebook
   ● Telegram
   ● Slack
   ● ...
   ● NLP
   ● Machine
   Learning
   ● API
   ● Database
   

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5. Bot ingredients
   Application
   Platform “Bot”
   ● Facebook
   ● Telegram
   ● Slack
   ● ...
   ● NLP
   ● Machine
   Learning
   ● API
   ● Database
   

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6. blitzlicht
   Improve communication by asking simple questions.
   1. Ask one question
   2. Have people answer in their own words
   3. Get insights
   

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7. blitzlicht in Action
   

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8. blitzlicht in Action
   

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9. blitzlicht in Action
   

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10. NLP APIs
    ● wit.ai
    ● Watson
    ● TextRazor
    ● Aylien
    ● ….
    

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11. Watson
    

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12. Watson APIs
    

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13. AlchemyLanguage
    ● Emotion Analysis
    ● Sentiment Analysis
    ● Entity Extraction
    ● Authors Extraction
    

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14. Watson API example
    HTTP GET http://gateway-a.watsonplatform.
    net/calls/text/TextGetEmotion?
    apiKey=myApiKey&text=I%20love%20bots%20so%
    much&outputMode=json
    

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15. Watson API example
    HTTP GET http://gateway-a.watsonplatform.
    net/calls/text/TextGetEmotion?
    apiKey=myApiKey&text=I%20love%20bots%20so%
    much&outputMode=json
    

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16. Watson API example
    HTTP GET http://gateway-a.watsonplatform.
    net/calls/text/TextGetEmotion?
    apiKey=myApiKey&text=I%20love%20bots%20so%
    much&outputMode=json
    

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17. Watson API example
    HTTP GET http://gateway-a.watsonplatform.
    net/calls/text/TextGetEmotion?
    apiKey=myApiKey&text=I%20love%20bots%20so%
    much&outputMode=json
    

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18. Watson API example
    HTTP GET http://gateway-a.watsonplatform.
    net/calls/text/TextGetEmotion?
    apiKey=myApiKey&text=I%20love%20bots%20so%
    much&outputMode=json
    

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19. Watson API example
    {
    "status": "OK",
    "language": "english",
    "text": "I love bots so much"
    "docEmotions": {
    "anger": "0.147255",
    "disgust": "0.041646",
    "fear": "0.090144",
    "joy": "0.50019",
    "sadness": "0.259973"
    }
    }
    

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20. Code example
    

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21. Code example
    Future emotion(String text) {
    String uri = '/calls/text/TextGetEmotion';
    String parameters = 'apikey=${apiKey}&text=${text}&outputMode=json';
    return http.get(Watson.baseUrl + uri + '?' + parameters).then((data) {
    Map response = JSON.decode(data.body);
    if (response['status'] == 'ERROR') {
    throw new WatsonException(response['statusInfo']);
    }
    return response;
    });
    }
    

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22. Code example
    watson.emotion(answer.text).then((Map response) {
    response['docEmotions'].forEach((String key, String value) {
    if (double.parse(value) > 0.5) {
    // The text has a pretty clear overall emotions
    }
    });
    });
    

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23. Pitfalls
    ● Inconsistent APIs
    ● Various pricings
    ● A lot of deprecated/beta APIs
    

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24. Summary
    https://pixabay.com/en/milky-way-andromeda-stars-galaxy-923801/
    

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25. https://www.dropbox.com/s/6z5aiwa8l09g2pa/86H.jpg
    

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